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Mistral AI MCP server: chat, OCR, Voxtral audio, Codestral FIM, vision, agents, batch.
About
Mistral AI MCP server: chat, OCR, Voxtral audio, Codestral FIM, vision, agents, batch.
Security Report
Valid MCP server (3 strong, 2 medium validity signals). 1 known CVE in dependencies (1 critical, 0 high severity) Package registry verified. Imported from the Official MCP Registry.
6 files analyzed · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: MISTRAL_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-swih-mistral-mcp": {
"env": {
"MISTRAL_API_KEY": "your-mistral-api-key-here"
},
"args": [
"-y",
"mistral-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mistral-mcp
Mistral, wherever you run it. MCP server for the full Mistral AI API — chat, OCR, audio (Voxtral), code (Codestral), vision, agents, batch, durable workflows — against Mistral Cloud or your own infrastructure. Plug into Claude Code, Cursor, Zed, Windsurf, or Claude Desktop in one command.
Version française : README.fr.md
What this is
mistral-mcp exposes the full Mistral AI API as a set of MCP tools, resources, and prompts. An MCP client (Claude Code, Cursor, etc.) can call mistral_ocr to extract text from a PDF, voxtral_transcribe to transcribe a meeting recording, or workflow_execute to start a durable multi-step process — all without leaving the agent loop.
Unique to Mistral and not available from other MCP servers:
mistral_ocr— Mistral Document AI: structured text + bbox annotations from any PDF or imagevoxtral_transcribe— Voxtral: transcription with optional speaker diarizationcodestral_fim— Codestral fill-in-the-middle (FIM) for inline code completionworkflow_*(6 tools) — Temporal-backed durable execution: what is deployed and runnable, what is running, human-in-the-loop signals, and graceful or forced stop- French-optimized models (
mistral-large-latest,mistral-medium-latest) and curated French prompts
What this server does not expose: fine-tuning, user management, non-FR/EN prompts.
Why this matters for European teams
mistral-mcp is designed for teams that want to use Mistral capabilities inside MCP clients (Claude Code, Cursor, Zed, Windsurf, Claude Desktop) while keeping control over deployment, API keys, cache behavior, and tool exposure.
This can be useful for European organisations evaluating AI stacks under GDPR, DORA, sector-specific constraints (HDS, EBA), or internal sovereignty requirements.
What this project provides:
- self-hosted MCP server, no mandatory SaaS proxy
- bring-your-own Mistral API key (BYOK) — Mistral states API data is not used to train its models
MISTRAL_BASE_URLroutes every call to your own OpenAI-compatible endpoint (vLLM, TGI, LiteLLM, an internal gateway) — no traffic toapi.mistral.ai- lean
coreprofile and focusedmetier-docsprofile to limit tool exposure process_documentcache configurable per-call and viaMISTRAL_MCP_CACHE_DIR, with a retention window (MISTRAL_MCP_CACHE_TTL_HOURS, default 7 days,0to disable) after which entries are deleted, not merely bypassed- ID document cache bypass enabled by default, even when
kind:"auto"resolves toid_document - Streamable HTTP + bearer auth path for controlled / on-prem deployments
- French-first prompts and skills (meeting minutes, legal summary, invoice reminder, commit message, email reply)
- free Experiment tier on the Mistral side covers most evaluation needs (~1B tokens/month)
What this project does NOT claim:
- it is not a GDPR, DORA, HDS, or ISO certification, and it does not replace a DPIA, vendor review, security audit, or legal assessment
- Mistral provider terms, data residency, subprocessor list, retention settings, and incident handling must be reviewed separately at mistral.ai/terms and legal.mistral.ai
- this repo is community-maintained, not an official Mistral integration; nothing here modifies Mistral's contractual data terms with you
In practice, mistral-mcp reduces the integration surface you have to assess. It does not replace the legal/compliance work itself.
Quick start
Claude Code (recommended — auto-installs, prompts for API key, ships 11 skills):
/plugin install mistral-mcp@swih-plugins
Cursor / Zed / Windsurf / Claude Desktop — add to your MCP settings JSON:
{
"mcpServers": {
"mistral": {
"command": "npx",
"args": ["-y", "mistral-mcp@latest"],
"env": { "MISTRAL_API_KEY": "your_key_here" }
}
}
}
Manual Claude Code registration:
claude mcp add mistral -- npx -y mistral-mcp@latest
Profiles
MISTRAL_MCP_PROFILE controls how many tools are exposed (default: core).
| Profile | Tools | Use when |
|---|---|---|
core (default) | 13 | Daily agentic use — lean context footprint |
admin | 41 | Full Mistral API surface — embeddings, streaming, batch, classify, files, agents, TTS, document extraction, stateful conversations, RAG libraries. Best for debug, CI, scripts. |
workflows | 8 | Pipeline orchestration + connectors only |
metier-docs | 14 | Documents vertical — core + process_document macro-tool |
self-hosted | 5 | Inference on your own OpenAI-compatible endpoint — inferred from MISTRAL_BASE_URL |
fullis accepted as a deprecated alias ofadminfor backward compatibility.
MISTRAL_MCP_PROFILE=admin npx mistral-mcp
Read mistral://capabilities from any client to see which tool families are on,
which are off, and why — no need to diff this table against your deployment.
Tools
Core profile (16 tools — always available)
| Tool | What it does |
|---|---|
mistral_chat | Chat completion. Supports all Mistral models, response_format, reasoning_effort for Magistral. |
mistral_vision | Multimodal chat with images (URL or base64). |
mistral_ocr | Document AI — extract text, bbox, and JSON annotations from PDFs/images. Pass includeBlocks: true for OCR 4 paragraph-level blocks (text/title/table/image/equation/... with bounding boxes). |
codestral_fim | Fill-in-the-middle code completion (Codestral model). |
voxtral_transcribe | Audio → text. Pass diarize: true for speaker separation. |
workflow_execute | Start a Mistral Workflow (Temporal-backed durable execution). |
workflow_status | Poll a running workflow — returns RUNNING | COMPLETED | FAILED | .... |
workflow_interact | Signal / query a running workflow. Used for human-in-the-loop checkpoints. |
workflow_deployments_list | List workflow deployments and whether each has a live worker. Call it before workflow_execute — a listed workflow with no active deployment answers 404. |
workflow_runs_list | List workflow executions, filtered by workflow, status or deployment. |
workflow_stop | Stop an execution — cancel (graceful, runs cleanup handlers) or terminate (immediate). |
connectors_list | Discover Mistral Connectors (MCP/HTTP integrations) visible to the caller. |
connectors_get | Fetch one connector's public metadata (never credentials). |
connectors_list_tools | List the MCP tools a connector exposes, with their input schema. |
connectors_call_tool | Invoke a connector's tool — real MCP CallToolResult passthrough. |
rag_indexes_list | List the search-index deployments on your account, with backend and document counts. |
Documents vertical (MISTRAL_MCP_PROFILE=metier-docs)
| Tool | What it does |
|---|---|
process_document | Single-call macro-tool: OCR → classify (kind=auto) → typed extraction → validation → cache. Kinds: contract / invoice / id_document / generic. Returns a discriminated union. PII-safe cache (id_document auto-bypass). Configurable minOcrConfidence. |
Admin profile only (+28 tools, set MISTRAL_MCP_PROFILE=admin)
| Group | Tools |
|---|---|
| Generation | mistral_chat_stream, mistral_embed, mistral_tool_call |
| Agents | mistral_agent, mistral_moderate, mistral_classify |
| Audio | voxtral_speak (TTS) |
| Files | files_upload, files_list, files_get, files_delete, files_signed_url |
| Batch | batch_create, batch_get, batch_list, batch_cancel |
| Conversations | conversation_start, conversation_append, conversation_get, conversation_list, conversation_history, conversation_delete — stateful multi-turn agent loops with Mistral's built-in tools (web_search, code_interpreter, image_generation, document_library) |
| Libraries (RAG) | libraries_list, libraries_get, libraries_documents_list, libraries_documents_upload, libraries_documents_status — discover and feed already-created Mistral Libraries; pair with conversation_start's documentLibraryIds to search them |
Resources
| URI | What it returns |
|---|---|
mistral://capabilities | Which tool families are registered, which are not, and why — plus the active profile and endpoint |
mistral://models | Live model catalog, read from the endpoint actually in use |
mistral://voices | Live Voxtral TTS voice catalog — registered only when the tts family is on (admin) |
mistral://workflows | Live list of deployed workflows (use name as workflowIdentifier) — not registered under self-hosted |
Prompts
Curated prompts with structured arguments and MCP completion support:
| Prompt | Input | Output |
|---|---|---|
french_meeting_minutes | transcript text | Structured French meeting minutes |
french_email_reply | received email + context | Polished French reply |
french_commit_message | git diff | Conventional Commits message in French |
french_legal_summary | legal document text | Plain-French summary + key clauses |
french_invoice_reminder | debtor, amount, days overdue, tone | B2B dunning letter in French |
codestral_review | git diff | Focused code review (security / logic / style) |
Claude Code skills (11)
Install via the swih-plugins marketplace to get these namespaced skills:
Routing
/mistral-mcp:mistral-router— picks the right Mistral model + tool for any task
Code
/mistral-mcp:codestral-review— fetches the current diff, runs a focused review
French workflows
/mistral-mcp:french-commit-message— Conventional Commits message in French/mistral-mcp:french-meeting-minutes— audio or text → structured French minutes/mistral-mcp:french-invoice-reminder— B2B dunning letter with controlled tone
Document & audio processing
/mistral-mcp:contract-analyzer— OCR → risk-rated clause extraction (JSON)/mistral-mcp:pdf-invoice-extractor— OCR → structured invoice fields for reconciliation/mistral-mcp:audio-dispatch— transcribe + diarize → per-speaker action plan
Human-in-the-loop workflows
/mistral-mcp:contract-review-workflow— durable contract review with approval gates/mistral-mcp:compliance-audit-workflow— multi-step audit with mid-run findings + decisions/mistral-mcp:research-pipeline-workflow— hypothesis-driven research with amendment injection
Install
# Run directly (no global install)
npx mistral-mcp
# Global install
npm install -g mistral-mcp && mistral-mcp
# Docker
docker build -t mistral-mcp .
docker run -i --rm -e MISTRAL_API_KEY=your_key mistral-mcp
# From source
git clone https://github.com/Swih/mistral-mcp.git
cd mistral-mcp && npm install && npm run build
node dist/index.js
Document ingestion, evaluated
process_document ships with a corpus and a harness, because "handles
heterogeneous PDFs" is a claim, and a claim without a measurement is marketing.
npm run fixtures:generate # rebuild the corpus from source (no key needed)
npm run eval:docs # score it against real OCR (needs MISTRAL_API_KEY)
The corpus is eight synthetic documents chosen for the cases that actually
break ingestion pipelines, not for the ones that flatter them: a rotated
landscape scan (/Rotate 90), ruled line-item tables, side-by-side address
columns, a blank page in the middle of a document, mixed FR/EN, French accents
and the euro sign, and one near-empty page. Ground truth for each document —
expected kind, page count, and the strings that must survive OCR — lives in
test/fixtures/corpus.json.
Everything in it is invented: fictional companies, fictional people, fictional identifiers. No real PII is in this repo, and none should be added — the corpus is only useful if it can be published.
npm run eval:docs reports, per document, whether kind: "auto" classified it
correctly, whether the required fields survived, and the OCR confidence. It
then derives a minOcrConfidence from the run: the midpoint between the worst
document that extracted cleanly and the best document marked low-signal. When
those two overlap, it says no threshold is defensible rather than inventing
one.
The shipped default of 0.3 is a conservative starting point, not a
measured value. Run the harness on your own documents and set the number that
run justifies.
Observability
Every tool call emits one JSON line on stderr, and the caller's W3C trace context follows the request all the way to the inference endpoint.
{"ts":"2026-08-28T09:14:02.117Z","kind":"tool_call","tool":"mistral_ocr","outcome":"ok","duration_ms":1840,"trace_id":"4bf92f3577b34da6a3ce929d0e0e4736","span_id":"00f067aa0ba902b7"}
- Trace continuity.
traceparent,tracestateandbaggagearrive in the MCP request's_metaand are stamped onto the outgoing HTTP call, so your collector joins the MCP span to the Mistral (or vLLM) span it caused instead of showing two unrelated traces. A malformed header is ignored, never fatal. - No payloads, ever. A line says what ran, how long it took and whether it
failed. Prompts, documents, transcripts, arguments and model output never
appear — those are your records, and this process has no business copying
them into a log it does not own.
test/stdio/observability.test.tsasserts that negative directly against the built binary. - Nothing to enable, and one thing to disable. It is on by default because
an audit trail you have to discover is one you will not have when you need
it.
MISTRAL_MCP_AUDIT=offsilences it. stderr is used because stdout carries JSON-RPC, and because MCP's ownloggingcapability is deprecated in 2026-07-28 in favour of stderr and OpenTelemetry.
The instrumentation wraps registerTool rather than each handler, so a tool
cannot be left out of the trail without being left out of the server.
Self-hosted inference
Point MISTRAL_BASE_URL at any OpenAI-compatible endpoint — vLLM, TGI, LiteLLM,
an internal token factory — and every request goes there instead of
api.mistral.ai:
MISTRAL_BASE_URL=http://vllm.internal:8000/v1 MISTRAL_DEFAULT_MODEL=my-org/mistral-small-3.2 npx mistral-mcp
Two things change when the endpoint is not Mistral's:
- The profile becomes
self-hosted. Only the five tools such an endpoint can actually serve stay registered —mistral_chat,mistral_chat_stream,mistral_embed,mistral_tool_call,mistral_vision. OCR, Voxtral, Files, Batch and Workflows are Mistral-platform endpoints; advertising them against vLLM would only produce 404s the calling model has to guess its way out of. SetMISTRAL_MCP_PROFILEexplicitly if your gateway does proxy the full API. - Model ids are no longer checked against a list. Any non-empty string is forwarded as-is, because your endpoint's identifiers are yours.
mistral://capabilities reports the active endpoint, the profile, whether it was
inferred, and the reason each unavailable family is off.
Compose and Kubernetes manifests, plus the full environment reference, are in
deploy/README.md.
Protocol
The server speaks MCP 2026-07-28 and the 2025-era handshake, from the same tool registrations, on the same endpoint. That matters because practically every client shipping today still opens with the 2025 handshake: upgrading the server does not ask anyone to upgrade their client.
| 2025-era client | 2026-07-28 client | |
|---|---|---|
| Handshake | initialize | server/discover |
| Tools, resources, prompts | identical set | identical set |
structuredContent + outputSchema | yes | yes |
Cache hints (ttlMs/cacheScope) | not in the revision | yes |
test/stdio/protocol-eras.test.ts drives the built binary with a real 1.30.x
client and a real 2026-07-28 client and asserts both see the same tools — the
compatibility claim above is a test, not a promise.
Built on @modelcontextprotocol/server 2.x. Sampling and elicitation tools are
not exposed: sampling is deprecated in 2026-07-28, and the multi-round-trip
replacement is a client capability this server has no use for.
Transport
| Mode | How to enable | Default |
|---|---|---|
| stdio | Default | node dist/index.js |
| Streamable HTTP | MCP_TRANSPORT=http or --http flag | 127.0.0.1:3333/mcp |
HTTP env vars: MCP_HTTP_HOST, MCP_HTTP_PORT, MCP_HTTP_PATH, MCP_HTTP_TOKEN (bearer auth), MCP_HTTP_ALLOWED_ORIGINS.
HTTP serving is stateless per request in both protocol eras, so MCP_HTTP_STATELESS no longer does anything and was removed in 0.10.0. Setting it is harmless.
/healthz is public and does not touch the MCP server.
Use as a Mistral Connector (beta)
mistral-mcp ships the Streamable HTTP transport and bearer auth that Mistral Connectors require. Deployment guides for Cloudflare Tunnel, Fly.io, and Cloud Run are in deploy/connector-public.md.
| Surface | Status |
|---|---|
| Local MCP clients (Claude Code, Cursor, Zed, Windsurf, Claude Desktop) | Stable |
| Streamable HTTP transport + bearer auth | Tested locally (handshake + 401 + initialize verified) |
Mistral Connector registration via POST /v1/connectors | Setup guide provided — Connectors are a beta feature, the API may change |
| Connector tool calls in Conversations/Agents | Untested end-to-end (requires public HTTPS deployment) |
| OAuth 2.1 Connector auth | Pending — bearer-only today |
curl -X POST https://api.mistral.ai/v1/connectors \
-H "Authorization: Bearer $MISTRAL_API_KEY" \
-d '{"name":"mistral_self","server":"https://your-deploy/mcp","visibility":"private"}'
Mistral Connectors expose tools only today. Resources and prompts remain available via local clients.
Comparison with other Mistral MCP servers
| Project | Scope | Best for |
|---|---|---|
| mistral-mcp | Full Mistral API + Workflows + 11 Claude Code skills | All-in-one self-hosted |
mcp-mistral-ocr (community) | OCR only | Lightweight OCR-only setup |
Speakeasy mistral-mcp-server-example | Generated demo | Reference / SDK template |
Composio mistral_ai toolkit | SaaS-routed Mistral tools | Hosted, no infra |
mistral-mcp differentiates by combining OCR, Voxtral diarization, Codestral FIM, and Temporal-backed Workflows in one server, with French-first prompts and a Claude Code plugin marketplace.
Development
npm run dev # tsx watch
npm run build # tsc → dist/
npm run lint # tsc --noEmit
npm test # 190+ tests (unit + contract + stdio e2e + live API)
npm run inspector
Test pyramid: unit → contract → stdio e2e → live API (requires MISTRAL_API_KEY).
License
MIT — Copyright Dayan Decamp
Reviews
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